期刊
ASTROPARTICLE PHYSICS
卷 34, 期 9, 页码 738-747出版社
ELSEVIER
DOI: 10.1016/j.astropartphys.2011.01.007
关键词
Active galaxies; PKS 2155-304; HESS; Quantum Gravity; Lorentz Invariance breaking
资金
- German Ministry for Education and Research (BMBF)
- Max Planck Society
- French Ministry for Research
- CNRS-IN2P3
- CNRS
- UK Science and Technology Facilities Council (STFC)
- IPNP of the Charles University
- Polish Ministry of Science and Higher Education
- South African Department of Science and Technology
- National Research Foundation
- University of Namibia
- STFC [ST/I001573/1, PP/E001319/1, PP/E001645/2, ST/F002963/1] Funding Source: UKRI
- Science and Technology Facilities Council [PP/E001319/1, ST/I001573/1, ST/F002963/1, PP/E001645/2] Funding Source: researchfish
Several models of Quantum Gravity predict Lorentz Symmetry breaking at energy scales approaching the Planck scale (similar to 10(19) GeV). With present photon data from the observations of distant astrophysical sources, it is possible to constrain the Lorentz Symmetry breaking linear term in the standard photon dispersion relations. Gamma Ray Bursts (GRB) and flaring Active Galactic Nuclei (AGN) are complementary to each other for this purpose, since they are observed at different distances in different energy ranges and with different levels of variability. Following a previous publication of the High Energy Stereoscopic System (H.E.S.S.) collaboration [1], a more sensitive event-by-event method consisting of a likelihood fit is applied to PKS 2155-304 flare data of MJD 53944 (July 28, 2006) as used in the previous publication. The previous limit on the linear term is improved by a factor of similar to 3 up to M-QG(1), > 2.1 X 10(1B) GeV and is currently the best result obtained with blazars. The sensitivity to the quadratic term is lower and provides a limit of M-QG(q) > 6.4 x 10(10) GeV, which is the best value obtained so far with an AGN and similar to the best limits obtained with GRB. (C) 2011 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据